Abstract
We propose an image registration model for computing a
dense, piecewise diffeomorphic deformation map between 3D thorax
images which incorporates sliding motion as often occurring in the pleu-
ral cavity. Our approach is based on stationary velocity fields and neural
implicit representations, with a particular focus on facilitating motion
interpolation. This allows for generating a time-continuous model of the
respiratory cycle based on end-inspiration and end-expiration images.
We investigate the effect of composing deformations in motion interpo-
lation, using a hybrid technique to enforce domain alignment. We experi-
mentally validate our approach for registration and motion interpolation
between thoracic end-inspiration and end-expiration images.
dense, piecewise diffeomorphic deformation map between 3D thorax
images which incorporates sliding motion as often occurring in the pleu-
ral cavity. Our approach is based on stationary velocity fields and neural
implicit representations, with a particular focus on facilitating motion
interpolation. This allows for generating a time-continuous model of the
respiratory cycle based on end-inspiration and end-expiration images.
We investigate the effect of composing deformations in motion interpo-
lation, using a hybrid technique to enforce domain alignment. We experi-
mentally validate our approach for registration and motion interpolation
between thoracic end-inspiration and end-expiration images.
| Original language | Undefined/Unknown |
|---|---|
| Title of host publication | International Conference on Scale Space and Variational Methods in Computer Vision |
| Number of pages | 13 |
| Publication date | 2025 |
| Pages | 404-416 |
| Publication status | Published - 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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